As the first AI Enablement Engineer at Replicant, you will build an internal AI program from the ground up. You’ll bridge the gap between technical infrastructure and business functions like Sales and Finance, creating the “paved road” for AI adoption through MCP integrations, agent identity management, and cost-optimization frameworks.
AI Enablement Engineer at Replicant
This isn't just about managing tools; it's about architecting the infrastructure that powers every department, from Sales to Finance, using LLMs and MCP integrations. If you have 5+ years of systems engineering experience and want to lead the AI-first shift at a company already handling millions of calls for the Fortune 500, this is your greenfield opportunity to define how AI works for a global workforce.
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Location
Canada, United States / Remote
Compensation
Not Disclosed
Company
Replicant
Role overview
150 employees
Replicant is a conversational AI platform that automates customer service interactions across voice, text, chat, and SMS channels. It handles repetitive and frequent calls, resolves Tier One inquiries with zero wait time using natural language processing and agentic AI architecture, improves customer satisfaction, reduces costs, and frees human agents for complex issues. Founded in 2017, it serves contact centers in industries like retail, e-commerce, telecommunications, and banking with enterprise-grade reliability.
What you will do
- Architect the “paved road” for internal AI usage by building MCP integrations, agent identity management systems, and shared agent specifications.
- Develop reusable AI patterns and templates that allow different business functions to deploy and scale their own AI agents and workflows.
- Partner with Finance to implement continuous cost visibility and reduction through prompt caching, intelligent model routing, and optimized agent design.
Who this is a fit for
- Has 5+ years of hands-on experience as a Systems, Solutions, or IT Engineer within a fast-paced SaaS or cloud-native environment.
- Demonstrates technical proficiency in Python, TypeScript, or Shell scripting, alongside experience with API integrations, secure authentication, and MCP systems.
- Possesses a “multiplier’s temperament,” combining the consultative skills to diagnose business problems with the engineering ability to build scalable, automated solutions.
Why this role is remarkable
- Greenfield opportunity to architect and build a company-wide AI enablement strategy as the first dedicated hire in this specialized function.
- Join a high-growth Series B leader in conversational AI that is actively transforming customer service for the world’s largest enterprises using LLMs.
- Directly impact every department at Replicant, from Sales to Finance, by automating complex workflows and scaling AI literacy across the organization.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Replicant wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.